In this work, we present a method for early forest fire detection from a satellite image using the power spectral density of a Gaussian white noise. To obtain the latter, we have considered each satellite image matrix line as a realization of a non stationary random process in the Thermal Infra-Red (TIR) spectral band, and then divided each line into very small intervals in which any random pro...

Plasmonic sensors exploiting the localized surface plasmon resonance (LSPR) of noble metal nanoparticles are common in the visual spectrum. However, bio-sensors near the infra-red (NIR) windows (600–900 nm and 1000–1400 nm) are of interest, as in these regions the absorption coefficients of water, melanin deoxyglobin, and hemoglobin are all low. The first part of this paper reviews the work tha...

We show that in a special class of theories the commonly assumed universal form of the soft supersymmetry–breaking terms is approached in the infra–red limit. The resulting universal scalar mass and trilinear coupling are predicted in terms of the gaugino mass.

Clouds are important for their radiative forcing, control of water vapour, chemical interactions, and effects on trace gas retrievals from remote sensing. Historically, clouds have been observed principally using nadir sounding but more recently limb-sounding instruments have demonstrated their sensitivity particularly to sub-visible cirrus. The Michelson Interferometer for Passive Atmospheric ...

Infrared radiations are radiations below (infra) visible spectrum. This emergent dual use technology field is fast emerging amongst the most ubiquitous ones. It spans from low-end automatic supermarket door openers to high-end space based detectors used to detect nuclear tests, missiles and intra galactic radiations. At the heart of this technology is the IR detector. Objective of this report i...